TensorFlow Federated (TFF) is an open-source machine learning framework for decentralized data. It enables training machine learning models on data stored across multiple devices (e.g., mobile phones) or organizations without requiring the data to be centrally collected. TFF is commonly used in scenarios where data privacy and security are paramount, such as personalized recommendation systems, healthcare, and financial services.
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